OpenAI
GPT-Image 2
OpenAI’s second-generation image model — instruction-precise synthesis, editing and in-image text.
Inteligensi
93.1 #8
AAQI 93.0
Kecepatan output
25 t/s
ITL 40.0 ms/tok
Harga gabungan (3:1)
$0.09 /1M
Input $0.09/M · Output $0.09/M
Konteks
128K
≈ 320 halaman A4 · output maks 4,096
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
GPT-Image 2
Claude Mythos Preview (#1)
Average (68)
Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.
Kelebihan & Trade-off
Di mana ia menang
- Best instruction-following in the image class
- Clean typography and UI-style text rendering
- First-class edit/inpaint endpoints
- Deep integration with OpenAI agents
Hal yang perlu diperhatikan
- Most expensive per-image tier
- Slower renders on complex scenes
- Closed weights
Kasus Penggunaan Killer
Design-to-asset pipelines
Prompt-precise banners, mockups and brand assets.
Agentic creative tools
Image calls orchestrated by GPT-6 agents.
Text-heavy graphics
Posters and slides needing real, legible copy.
Quickstart Developer & API
Atur
OPENAI_API_KEY dulu — dapatkan kunci APIcurl https://api.openai.com/v1/responses \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "gpt-image-2",
"input": "Refactor this function for O(n) time and explain the change."
}'from openai import OpenAI
client = OpenAI() # reads OPENAI_API_KEY
resp = client.responses.create(
model="gpt-image-2",
input="Refactor this function for O(n) time and explain the change.",
)
print(resp.output_text)const res = await fetch("https://api.openai.com/v1/responses", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({ model: "gpt-image-2", input: "Refactor this function for O(n) time and explain the change." }),
});
console.log((await res.json()).output_text);Sumber Daya & Tautan Resmi
Deployment API
Bandingkan host & latensi
Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Skor per sumber
Skor per kategori
Hasil benchmark
Duel Head-to-head Live
Spesifikasi Live & Arsitektur
Di balik kap
GPT-Image 2 — OpenAI image generation
- Second-gen image stack trained with GPT-side prompt understanding
- Legible in-image text and dense layout control
- Transparent-background and masked-edit modes
- Tight GPT-6/Responses API integration
Tanggal rilis
16 Okt 2026
Arsitektur
GPT-Image 2 — OpenAI image generation
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
128,000 tokens
Output maks
4,096 tokens
Modalitas
text + image
Harga cache
baca $0.02 · tulis $0.11 /1M
Penalaran
—
Harga input
$0.09/M
Harga output
$0.09/M
Kecepatan output
25 t/s
Waktu ke token pertama
—
Data diperbarui
22 Okt 2026
Estimasi tagihan bulanan
Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…
Kutip & sematkan
Badge Markdown GitHub
Loading badge markdown...BibTeX
@misc{llmpodium2026gptimage2,
title = {Benchmark Analysis and Intelligence Evaluation of GPT-Image 2},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/gpt-image-2}
}Sematkan Lencana Skor
Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.
Pratinjau
Markdown
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Model Alternatif
Alternatif terdekat untuk GPT-Image 2 berdasarkan kemampuan, harga, dan skor benchmark.